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市場調查報告書

全球消費者取向機器人:市場及策略 2015-2020年

Worldwide Consumer Robotics: Markets & Strategies 2015-2020

出版商 Juniper Research 商品編碼 346843
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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全球消費者取向機器人:市場及策略 2015-2020年 Worldwide Consumer Robotics: Markets & Strategies 2015-2020
出版日期: 2015年12月15日 內容資訊: 英文
簡介

本報告提供全球消費者取向機器人市場現況與展望調查分析、目前市場規模與今後5年的發展趨勢、影響目前市場的主要因素、AI (人工智能) 之間的關聯中機器學習及硬體設備的重要性、消費者取向機器人使用的預定通訊技術等相關彙整。

第1章 機器人

  • 簡介
  • 定義
  • 消費者取向機器人的主因素
  • 人工智能?
  • 消費者取向機器人的演進

第2章 消費者取向機器人的競爭情形

  • 簡介
  • 消費者取向機器人市場發展
    • 投資
  • 推動因素、趨勢及阻礙因素
    • 技術要素
    • 消費者要素
    • 供應商要素
  • 消費者取向機器人的價值鏈的發展
    • 晶片組形勢
    • 軟體形勢的發展
  • 消費者取向機器人區分的展望
    • 娛樂
    • 工作
    • 教育
    • 醫療
    • 安全
  • 機器人的經營模式

第3章 消費者取向機器人市場預測

  • 簡介
  • 調查手法 & 前提條件
  • 預測摘要
    • 消費者取向機器人的累計裝置量
    • 消費者取向機器人的收益
  • 消費者取向機器人區分的預測
    • 累計裝置量
    • 出貨數
    • 硬體設備收益
目錄

Overview

Juniper Research is a market leader in the connected devices and wearables area, having built an unrivalled source of market intelligence and forecast data over the past 12 years.

Our industry-benchmark research is the only research available that provides breakdowns by the key sub-segments of: Entertainment; Task; Educational; Healthcare; and Security robots.

This research investigates why investment into this sector has recently surged, and how developments across chipset design, analytics and artificial intelligence is creating market traction in a space where at the present time, the user experience is highly dependent on the technology.

This research includes:

  • Market Appraisal (PDF)
  • 5 Year Market Sizing & Forecast Spreadsheet (Excel).

Key Features

  • Key regional analysis of the consumer robotics market and its immediate and future prospects.
  • Analysis and forecasts for:
    • Entertainment Robots
    • Task Robots
    • Educational Robots
    • Healthcare Robots
    • Security Robots
  • In-depth study of the overarching trends, hurdles and drivers impacting the development of consumer robots.
  • Stakeholder case studies highlighting strategies and disruptive market approaches.
  • Value chain analysis: chipset and software landscape.
  • Artificial intelligence market status & analysis of requirements for future development.
  • Benchmark industry forecasts for the size and growth of the consumer robotics market.

Key Questions

  • 1. What is the consumer robotics market currently worth, and how will it develop over the next five years?
  • 2. What are the key forces impacting the market at the present time?
  • 3. What is the importance of machine learning and hardware in the context of AI, and how is this issue being addressed?
  • 4. What strategies are stakeholders employing to drive the market forward?
  • 5. Which communications technologies are likely to be used by consumer robots?

Companies Referenced

Alphabet, Amaryllo, Annapurna Labs, Arduino, ARM, Bezos Expeditions, Boston Dynamics, Bot & Dolly, CrunchBase, Cubelet, Daimler, Dark Blue Labs, DeepMind Technologies , Dyson, Ekso, Evi, Google, Hasbro, Hoaloha Robotics, Holomini, IBM, Industrial Perception, Innvo Labs, Intel, iRobot, Jetpac, Jibo, Kiluck, Kiva Systems, Meka Robotics, OECD (Organisation for Economic Cooperation and Development), Paro Robotics, Raspberry Pi Foundation, Redwood Robotics, Rethink Robotics, Schaft, Senvol, SoftBank, SSRN (Social Science Research Network), Tesla, Toyota, Vision Factory, Volvo, Voxel8, Watson, YouTube.

Data & Interactive Forecast

Juniper's ‘Consumer Robotics'forecast suite includes:

  • Country level data splits for:
    • Canada
    • Germany
    • Japan
    • South Korea
    • UK
    • US
    • Plus 8 key global regions
  • Total consumer robot shipments, installed base and hardware revenue, split according to key market segment:
    • Entertainment
    • Task
    • Education
    • Healthcare
    • Security
  • Wireless communications technology splits:
    • Wi-Fi
    • Bluetooth
    • Others
  • Interactive Scenario Tool allowing users to manipulate Juniper's data for 10 different metrics.
  • Access to the full set of forecast data of 74 tables and over 7,200 data points.

Juniper Research's highly granular interactive Excels (IFxls) enable clients to manipulate Juniper's forecast data and charts to test their own assumptions by using the Interactive Scenario Tool, and compare select markets and sectors side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. A, Robot

  • 1.1. Introduction
    • 1.1.1. From Industrial to Consumer Robots
  • 1.2. Definition
    • Figure 1.1: Consumer Robotics: Device Segmentation
    • 1.2.1. Entertainment
      • Figure 1.2: Rapiro with Raspberry Pi
    • 1.2.2. Task
      • Figure 1.3: Droplet Robotics Plant Sprinkler
    • 1.2.3. Education
      • Figure 1.4: Pleo Rb
      • i. Case Study: Pleo Rb
    • 1.2.4. Healthcare
    • 1.2.5. Security
  • 1.3. Key Elements of a Consumer Robot
  • 1.4. Artificial Intelligence ?
  • 1.5. Consumer Robotics Evolution
    • Figure 1.5: Juniper Phased Evolution Model: Robotics

2. Consumer Robotics Competitive Landscape

  • 2.1. Introduction
  • 2.2. Consumer Robotics Market Developments
    • 2.2.1. Investment
      • Figure 2.1: VC Funding: Robotics Companies 2010-2014 ($m)
      • Table 2.2: Selected Corporate-Scale Investment into Robotics in the Past 5 Years
  • 2.3. Drivers, Trends & Constraints
    • Figure 2.3: Consumer Robotics: Market Drivers, Trends & Constraints
    • 2.3.1. Technological Factors
      • i. Drivers
      • ii. Trends
        • Figure 2.4: Voxel8 3D Electronics Printer
      • iii. Constraints
        • Figure 2.5: Von Neumann Architecture
    • 2.3.2. Consumer Factors
      • i. Drivers
      • ii. Trends
      • iii. Constraints
        • Figure 2.6: Humanoid Robots - The Same, but Different: The Uncanny Valley
        • Table 2.7: Dyson Upright vs Dyson Robot
    • 2.3.3. Vendor Factors
      • i. Drivers
      • ii. Trends
      • iii. Constraints
  • 2.4. Consumer Robotics Value Chain Developments
    • 2.4.1. The Chipset Landscape
      • iii. Case Study: Raspberry Pi Zero
      • v. Case Study: IBM True North
    • 2.4.2. Software Landscape Developments
      • i. Case Study: Google Tensor Flow
  • 2.5. Consumer Robotics Segment Prospects
    • 2.5.1. Entertainment
    • 2.5.2. Task
    • 2.5.3. Education
    • 2.5.4. Healthcare
    • 2.5.5. Security
  • 2.6. Robotics Business Models

3. Consumer Robotics Market Forecasts

  • 3.1. Introduction
  • 3.2. Methodology & Assumptions
    • Figure 3.1: Consumer Robotics Methodology
  • 3.3. Forecast Summary
    • 3.3.1. Consumer Robot Installed Base
      • Figure & Table 3.2: Total Consumer Robot Installed Base (m), Split by 8 Key Regions, 2015-2020
    • 3.3.2. Consumer Robot Revenues
      • Figure & Table 3.3: Total Sales Revenue from Consumer Robotics Hardware ($m), Split by 8 Key Regions 2015-2020
  • 3.4. Consumer Robot Segment Forecasts
    • 3.4.1. Installed Base
      • Figure & Table 3.4: Consumer Robot Installed Base (m), Split by Segment 2015-2020
    • 3.4.2. Shipments
      • Figure & Table 3.5: Consumer Robot Shipments (m), Split by Segment 2015-2020
    • 3.4.3. Hardware Revenue
      • Figure & Table 3.6: Consumer Robot Hardware Revenue ($m), Split by Segment 2015-2020
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